Emerging Challenges in Intelligent Management Information Systems : Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 1

Marcin Hernes

ISBN 10: 303213868X / ISBN 13: 9783032138682

Published by Springer, Springer International Publishing, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors.

Seller Inventory # 9783032138682

Bibliographic Details

• Title: Emerging Challenges in Intelligent Management Information Systems : Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 1
• Publisher: Springer, Springer International Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 303213868X
• ISBN 13: 9783032138682
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 581 grams

About this title

Synopsis

This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors.